code: def _norm_cumulant(n):
      # cumulants of N(0, 1)
      try:
          return {1: 0, 2: 1}[n]
      except KeyError:
          return 0
  
imports: import warnings
  import numpy
  from numpy.testing import assert_equal, assert_raises, assert_allclose
  import numpy.testing
  from scipy.special import gamma, factorial, factorial2
  import scipy.stats
  from statsmodels.distributions.edgeworth import _faa_di_bruno_partitions, cumulant_from_moments, ExpandedNormal
label_desc: Use image node_id 2 for calling a global function with example usage: _norm_cumulant(n) and returns: dict, int